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Article

Improved NOAA-20 Visible Infrared Imaging Radiometer Suite Day/Night Band Image Quality by Upgraded Gain Calibration

1
Global Science and Technology, Greenbelt, MD 20770, USA
2
Cooperative Institute for Satellite Earth System Studies (CISESS), University of Maryland, College Park, MD 20740, USA
3
Center for Satellite Applications and Research, NOAA/NESDIS, College Park, MD 20740, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Ferdinando Nunziata
Remote Sens. 2021, 13(13), 2509; https://doi.org/10.3390/rs13132509
Received: 21 May 2021 / Revised: 22 June 2021 / Accepted: 23 June 2021 / Published: 26 June 2021
(This article belongs to the Special Issue Advances in VIIRS Data)
Due to complex radiometric calibration, the imagery collected by the Day/Night Band (DNB) of the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar Partnership (Suomi-NPP) and the NOAA-20 follow-on satellite is subject to artifacts such as striping, which eventually affect Earth remote sensing applications. Through comprehensive analysis using the NOAA-20 VIIRS DNB prelaunch-test and on-orbit data, it is revealed that the striping results from flaws in the calibration process. In particular, a discrepancy between the low-gain stage (LGS) Earth view (EV) gain and the onboard calibrator solar diffuser view gain makes the operational LGS gain coefficients of a few aggregation modes and detectors biased. Detector nonlinearity at low radiance level also induces errors to the mid-gain stage (MGS) and high-gain stage (HGS) gain through the biased gain ratios. These systematic errors are corrected by scaling the operational LGS gains using the factors derived from the NOAA-20 VIIRS DNB prelaunch test data and by adopting linear regression for evaluating the gain ratios. Striping in the NOAA-20 VIIRS DNB imagery is visibly reduced after the upgraded gain calibration process was implemented in the operational calibration. View Full-Text
Keywords: NOAA-20; VIIRS DNB; radiometric calibration; detector nonlinearity; striping NOAA-20; VIIRS DNB; radiometric calibration; detector nonlinearity; striping
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MDPI and ACS Style

Gu, Y.; Blonski, S.; Wang, W.; Uprety, S.; Choi, T.; Shao, X.; Zhang, B.; Cao, C. Improved NOAA-20 Visible Infrared Imaging Radiometer Suite Day/Night Band Image Quality by Upgraded Gain Calibration. Remote Sens. 2021, 13, 2509. https://doi.org/10.3390/rs13132509

AMA Style

Gu Y, Blonski S, Wang W, Uprety S, Choi T, Shao X, Zhang B, Cao C. Improved NOAA-20 Visible Infrared Imaging Radiometer Suite Day/Night Band Image Quality by Upgraded Gain Calibration. Remote Sensing. 2021; 13(13):2509. https://doi.org/10.3390/rs13132509

Chicago/Turabian Style

Gu, Yalong, Slawomir Blonski, Wenhui Wang, Sirish Uprety, Taeyoung Choi, Xi Shao, Bin Zhang, and Changyong Cao. 2021. "Improved NOAA-20 Visible Infrared Imaging Radiometer Suite Day/Night Band Image Quality by Upgraded Gain Calibration" Remote Sensing 13, no. 13: 2509. https://doi.org/10.3390/rs13132509

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